Converting non-standard data into a target standard

Abstract

An illustrative method includes retrieving one or more datasets and one or more metadata from a data source; mapping the retrieved one or more datasets and the one or more metadata to a target standard; inferring one or more variable classifications, one or more variable connections, and one or more groupings using the mapped one or more datasets and the mapped one or more metadata; performing a de-identification process with respect to the one or more datasets the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; performing a conversion of the one or more datasets to the target standard using the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; and generating an output comprising the converted one or more datasets.

What is claimed is: 
     
         1 . A method comprising:
 retrieving one or more datasets and one or more metadata from a data source;   mapping the retrieved one or more datasets and the one or more metadata to a target standard;   inferring one or more variable classifications, one or more variable connections, and one or more groupings using the mapped one or more datasets and the mapped one or more metadata;   performing a de-identification process with respect to the one or more datasets the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings;   performing a conversion of the one or more datasets to the target standard using the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; and   generating an output comprising the converted one or more datasets.   
     
     
         2 . The method of  claim 1 , wherein the performing the de-identification process is performed based on a determination that the de-identification process is required. 
     
     
         3 . The method of  claim 1 , wherein the de-identification process includes data transformation, data masking, and data synthesis with respect to the one or more datasets. 
     
     
         4 . The method of  claim 1 , further comprising storing the converted one or more datasets within a database. 
     
     
         5 . The method of  claim 1 , wherein the performing the conversion is based on a determination that the conversion of the one or more datasets to the target standard is required. 
     
     
         6 . The method of  claim 1 , wherein the inferring is based on a schema associated with the target standard. 
     
     
         7 . The method of  claim 1 , wherein the inferring is based on a variable mapping associated with the target standard. 
     
     
         8 . The method of  claim 1 , further comprising performing a disclosure risk assessment with respect to the one or more datasets. 
     
     
         9 . The method of  claim 1 , further comprising transmitting the output comprising the converted one or more datasets by way of a communication network to a computing device. 
     
     
         10 . A system comprising:
 one or more processors; and   one or more non-transitory computer-readable storage media storing instructions which, when executed by the one or more processors, cause the one or processors to perform operations comprising:
 retrieving one or more datasets and one or more metadata from a data source; 
 mapping the retrieved one or more datasets and the one or more metadata to a target standard; 
 inferring one or more variable classifications, one or more variable connections, and one or more groupings using the mapped one or more datasets and the mapped one or more metadata; 
 performing a de-identification process with respect to the one or more datasets the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; 
 performing a conversion of the one or more datasets to the target standard using the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; and 
 generating an output comprising the converted one or more datasets. 
   
     
     
         11 . The system of  claim 10 , wherein the performing the de-identification process is performed based on a determination that the de-identification process is required. 
     
     
         12 . The system of  claim 10 , wherein the de-identification process includes data transformation, data masking, and data synthesis with respect to the one or more datasets. 
     
     
         13 . The system of  claim 10 , wherein the operations further comprise storing the converted one or more datasets within a database. 
     
     
         14 . The system of  claim 10 , wherein the performing the conversion is based on a determination that the conversion of the one or more datasets to the target standard is required. 
     
     
         15 . The system of  claim 10 , wherein the inferring is based on a schema associated with the target standard. 
     
     
         16 . The system of  claim 10 , wherein the inferring is based on a variable mapping associated with the target standard. 
     
     
         17 . The system of  claim 10 , further comprising performing a disclosure risk assessment with respect to the one or more datasets. 
     
     
         18 . The system of  claim 10 , wherein the operations further comprise transmitting the output comprising the converted one or more datasets by way of a communication network to a computing device. 
     
     
         19 . A non-transitory computer-readable medium storing instructions that, when executed, direct a processor of a computing device to perform operations comprising:
 retrieving one or more datasets and one or more metadata from a data source;   mapping the retrieved one or more datasets and the one or more metadata to a target standard;   inferring one or more variable classifications, one or more variable connections, and one or more groupings using the mapped one or more datasets and the mapped one or more metadata;   performing a de-identification process with respect to the one or more datasets the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings;   performing a conversion of the one or more datasets to the target standard using the inferred one or more variable classifications, the inferred one or more variable connections, and the inferred one or more groupings; and   generating an output comprising the converted one or more datasets.   
     
     
         20 . The non-transitory computer-readable medium of  claim 19 , wherein the performing the de-identification process is performed based on a determination that the de-identification process is required.